Nattapol Aunsri

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In recent years, the number of students who enrolled in the course of Introduction to Information Technology at Mae Fah Luang University, Chiang Rai, Thailand is getting larger and larger. This causes the excessive teaching loads for all limited number of instructors who take responsibility of this course. It also causes some problem on study resources,(More)
In this paper, we investigate a sequential Bayesian filtering method to obtain estimates of instantaneous frequencies using Time-Varying Autoregressive (TVAR) model for ocean acoustics Time-Series. A particle filter along with a nonlinear model for estimating these frequencies is developed. Simulations demonstrate performance of the method compared to(More)
Dispersion curves in ocean environments are accurately estimated from received signals through the extraction of instantaneous modal frequencies and corresponding arrival times for long-range propagation. The ultimate goal is to estimate sediment sound speed using the extracted dispersion pattern. The approach extends work previously conducted in dispersion(More)
The studies of neuroimaging have been shown that odorant-induced responses to the prolonged stimulation in primary olfactory cortex (POC) are characterized by a rapidly habituating time course. This paper is concerned the identification of the active regions in the brain after that stimulation. The correlation technique is used to obtain the quantity that(More)
Extraction of frequency content embedded in a signal is an very important task for signal processing applications. In this paper, we present an approach for frequency tracking of a noisy Time-series using adaptive resampling particle filtering method along with the time-varying autoregressive (TVAR) model. The adaptive resampling scheme is used to address(More)
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